Zustandschätzung
Zustandschätzung, often translated as state estimation, is a fundamental concept in many fields of engineering and science. It refers to the process of determining the internal state of a dynamic system based on a series of indirect and potentially noisy measurements. The state of a system is a set of variables that, along with the system's input, completely describe its behavior at any given time. For example, in robotics, the state might include the position and velocity of a robot arm, while in economics, it could represent market indicators.
The core challenge in state estimation lies in the fact that the true state is usually not
Several algorithms are employed for state estimation, with the Kalman filter and its variants being among the